DAE

Abstract

Pharmacogenomic biomarkers are considered an important component of targeted therapies as they can potentially be used to identify patients who are more likely to benefit from them. New study designs may be helpful which can evaluate both the prognosis based on the biomarkers and the response from targeted therapies. In this talk I will present a recently developed Bayesian response-adaptive design. The design utilizes individual pharmacogenomic profiles and clinical outcomes as they become available during the course of the trial to assign most effective treatment to patients. I will present simulation studies of the proposed design. In closing I will share my perspectives on adaptive designs in general.